Agricultural Water Resources Management Using Maximum Entropy and Entropy-Weight-Based TOPSIS Methods

Area of Science:

• Agricultural Water Management
• Environmental Science
• Resource Management

Background:

• Diminishing water supplies and increasing demands pose challenges for agricultural water resource management.
• Decisions must account for the critical random parameters of water supply and demand.

Purpose of the Study:

• To present a systematic framework for agricultural water resources management.
• To determine distribution functions, joint probabilities, and optimal allocation strategies.
• To evaluate allocation schemes based on agricultural water resources carrying capacity.

Main Methods:

• Maximum entropy method for estimating probability distribution parameters of water supply and demand.
• Entropy-weight-based TOPSIS method for evaluating water allocation schemes.
• Case study in an irrigation district in Northeast China.

Main Results:

• The framework effectively balances multiple objectives in agricultural water management.
• It provides alternative allocation schemes considering supply and demand variations.
• The approach is feasible and applicable for real-world irrigation districts.

Conclusions:

• The proposed framework supports sustainable agricultural water resources planning.
• It offers a systematic approach to managing complex water allocation challenges.
• Balancing multiple objectives is crucial for effective water resource management.